{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/kellydingzx/ecg_notebooks/blob/main/af_detector2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g6_y2N56FQVq"
      },
      "source": [
        "## Import"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!wget -r -N -c -np https://physionet.org/files/nsrdb/1.0.0/"
      ],
      "metadata": {
        "id": "5QJLLBi5FWif"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IQjqPBi4FQVs"
      },
      "outputs": [],
      "source": [
        "import pip\n",
        "import os\n",
        "\n",
        "try:\n",
        "    import wfdb\n",
        "except ModuleNotFoundError:\n",
        "    pip.main(['install', \"wfdb\"])\n",
        "    import wfdb\n",
        "\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt "
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install neurokit2"
      ],
      "metadata": {
        "id": "m8Gmm6tyHF8d"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "LK-aA6ncFQVt"
      },
      "outputs": [],
      "source": [
        "import sys\n",
        "import neurokit2 as nk2\n",
        "import readin\n",
        "import display"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IXbtXAKvFQVt"
      },
      "source": [
        "## Functions"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 232,
      "metadata": {
        "id": "Xs7uYzVpFQVu"
      },
      "outputs": [],
      "source": [
        "def get_peaks(sample_path, leads, fs):\n",
        "    signal, rest = wfdb.rdsamp(sample_path, sampfrom=0, sampto=60*60*fs*2, \n",
        "                                channel_names = leads)\n",
        "    cleaned = nk2.ecg_clean(signal, fs, method='neurokit2')\n",
        "    signals, info = nk2.ecg_peaks(cleaned, fs, method='neurokit2')\n",
        "\n",
        "    return info[\"ECG_R_Peaks\"]\n",
        "\n",
        "def get_rr_drr(peaks, fs):\n",
        "    rr_intervals = np.diff(peaks)\n",
        "    rr_intervals = np.divide(rr_intervals, fs)\n",
        "    d_rr = np.diff(rr_intervals)\n",
        "\n",
        "    return rr_intervals[1:], d_rr"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 233,
      "metadata": {
        "id": "0BJFX7ziFQVu"
      },
      "outputs": [],
      "source": [
        "def get_nec(plot_x, plot_y):\n",
        "    x_min, x_max = min(plot_x), max(plot_x)\n",
        "    y_min, y_max = min(plot_y), max(plot_y)\n",
        "\n",
        "    x_min = 200 if x_min<200 else x_min\n",
        "    y_min = -500 if y_min<-500 else y_min\n",
        "    x_max = 2000 if x_max>2000 else x_max\n",
        "    y_max = 1000 if y_max>1000 else y_max\n",
        "\n",
        "    x_start, x_fin = (x_min//25-1)*25 , (x_max//25+1)*25\n",
        "    y_start, y_fin = (y_min//25-1)*25, (y_max//25+1)*25\n",
        "\n",
        "        \n",
        "    nec = 0\n",
        "    for x_i in range(int(x_start), int(x_fin), 25):\n",
        "        for y_i in range(int(y_start), int(y_fin), 25):\n",
        "            x_ind = np.where(np.logical_and(plot_x>=x_i, plot_x<x_i+25))[0]\n",
        "            y_ind = np.where(np.logical_and(plot_y>=y_i, plot_y<y_i+25))[0]\n",
        "            in_box = np.intersect1d(x_ind, y_ind)\n",
        "            if len(in_box)>0: nec+=1\n",
        "    \n",
        "    return nec"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 234,
      "metadata": {
        "id": "vdbu3QsrFQVu"
      },
      "outputs": [],
      "source": [
        "def full_nec(example_path, leads, fs, window_size):\n",
        "\n",
        "    peak_idx = get_peaks(example_path, leads, fs)\n",
        "    annots = wfdb.rdann(example_path, 'atr', sampfrom=0, sampto=None)\n",
        "    af_idx = annots.sample\n",
        "\n",
        "    nec_records = {}\n",
        "    for i in range(0, len(peak_idx)-window_size, window_size+1):\n",
        "        peak_chosen = peak_idx[i:i+window_size+1]\n",
        "        rr, drr = get_rr_drr(peak_chosen, fs)\n",
        "        plot_x = rr*1000\n",
        "        plot_y = drr*1000\n",
        "        nec = get_nec(plot_x, plot_y)\n",
        "        segment = (peak_chosen[0], peak_chosen[-1])\n",
        "        nec_records[segment] = nec\n",
        "    \n",
        "    return nec_records, af_idx"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def get_nsr(nec_records, opti):\n",
        "   counts = 0\n",
        "   for seg, nec in nec_records.items():\n",
        "     if nec > opti:\n",
        "       counts += 1\n",
        "   return counts/len(nec_records)"
      ],
      "metadata": {
        "id": "wU_cDY2UuIpa"
      },
      "execution_count": 235,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 236,
      "metadata": {
        "id": "kuG-t993FQVv"
      },
      "outputs": [],
      "source": [
        "def get_results(nec_records, af_idx, opti):\n",
        "    true_pos, true_neg, false_pos, false_neg = 0,0,0,0\n",
        "    for seg, nec in nec_records.items():\n",
        "        found = np.where(np.logical_and(af_idx>=seg[0],af_idx<=seg[1]))[0]\n",
        "        if nec > opti and len(found) != 0:\n",
        "            true_pos += 1\n",
        "        elif nec <opti and len(found) == 0:\n",
        "            true_neg +=1\n",
        "        elif nec<opti and len(found)!=0:\n",
        "            false_neg +=1\n",
        "        elif nec>opti and len(found) == 0:\n",
        "            false_pos +=1\n",
        "    return true_pos, true_neg, false_pos, false_neg"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 237,
      "metadata": {
        "id": "70XvqnF6FQVv"
      },
      "outputs": [],
      "source": [
        "def get_stats(true_pos, true_neg, false_pos, false_neg):\n",
        "    sensitivity = None if true_pos+false_neg == 0 else true_pos/(true_pos+false_neg)\n",
        "    specificity = true_neg/(true_neg+false_pos)\n",
        "    ppv = true_pos/(true_pos+false_pos)\n",
        "    f1 = None if sensitivity == None or ppv==0 else 2*ppv*sensitivity/(ppv+sensitivity)\n",
        "    return sensitivity, specificity, ppv, f1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 238,
      "metadata": {
        "id": "xrrNbkUDFQVv"
      },
      "outputs": [],
      "source": [
        "def af_analyse(example_path, leads, fs, window_size, opti):\n",
        "    nec_records, af_idx = full_nec(example_path, leads, fs, window_size)\n",
        "    tp, tn, fp, fn = get_results(nec_records, af_idx, opti)\n",
        "    sen, spe, ppv, f1 = get_stats(tp, tn, fp, fn)\n",
        "    return sen, spe, nec_records"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def nsr_analyse(example_path, leads, fs, window_size, opti):\n",
        "    nec_records, _ = full_nec(example_path, leads, fs, window_size)\n",
        "    counts = get_nsr(nec_records, opti)\n",
        "    return counts"
      ],
      "metadata": {
        "id": "AsUQNynAuih-"
      },
      "execution_count": 239,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S1w6QqzbFQVw"
      },
      "source": [
        "## Example"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 197,
      "metadata": {
        "id": "dGilNz98FQVw"
      },
      "outputs": [],
      "source": [
        "example_path = '/content/physionet.org/files/afdb/1.0.0/16265'\n",
        "leads = ['ECG1']\n",
        "fs=128\n",
        "\n",
        "# sen, spe, nec_records = af_analyse(example_path, leads, fs, 32)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "peaks = get_peaks(example_path, leads, fs)"
      ],
      "metadata": {
        "id": "DVg98UaklLzv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "peaks"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aDJchRc1m-dv",
        "outputId": "1b73173e-db14-47a1-b98d-d58317e4936f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([    150,     394,     643, ..., 9204964, 9205183, 9205619])"
            ]
          },
          "metadata": {},
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "rr, drr = get_rr_drr(peaks, fs)"
      ],
      "metadata": {
        "id": "dl_dmrfTlera"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "rr*1000"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jts6poWD1Rpk",
        "outputId": "d3ad4447-f088-48d7-d5e5-6938f9836230"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 996., 1044.,  992., ...,  900.,  876., 1744.])"
            ]
          },
          "metadata": {},
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(peaks)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SMLewEOD13wO",
        "outputId": "a2c9d8de-f53d-4d42-dc12-fba0bb48ce8d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "38083"
            ]
          },
          "metadata": {},
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(rr[38049:38082])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EjXylsNa1zO2",
        "outputId": "874319e1-f350-4fcf-afe9-db2a94b905d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "32"
            ]
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "nec_records, af_idx = full_nec(example_path, leads, fs, 64)"
      ],
      "metadata": {
        "id": "CsHGh9jtlwet"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tp, tn, fp, fn = get_results(nec_records, af_idx, 40)"
      ],
      "metadata": {
        "id": "sDs5EiTlmLyL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tp, tn, fp, fn"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-nVSxb1lnCPR",
        "outputId": "0fc304eb-3a71-4a36-8c16-a3ab7c433ef4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1, 569, 5, 9)"
            ]
          },
          "metadata": {},
          "execution_count": 167
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "get_stats(tp, tn, fp, fn)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KfHowb5GmoHA",
        "outputId": "5dc07ab9-61da-4f27-fae1-5178f95cc491"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0.1, 0.9912891986062717, 0.16666666666666666, 0.125)"
            ]
          },
          "metadata": {},
          "execution_count": 168
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 240,
      "metadata": {
        "id": "DM7OLdTRFQVx"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "arr = os.listdir('/content/physionet.org/files/nsrdb/1.0.0/')\n",
        "\n",
        "sample_ids = []\n",
        "for file in arr:\n",
        "    if '.atr' in file:\n",
        "        sample_ids.append(file[:5])\n",
        "\n",
        "# sample_ids.remove('03665')\n",
        "# sample_ids.remove('00735')\n",
        "# sample_ids.remove('04043')\n",
        "\n",
        "all_ids = list(set(sample_ids)) "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 245,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xmuHunrRFQVx",
        "outputId": "67cc692c-bcc9-46e1-da15-0f5ea038c6bf"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ECG1 32 [0.001890359168241966, 0.0, 0.0, 0.00546448087431694, 0.0, 0.0, 0.0, 0.0, 0.0021929824561403508, 0.08316831683168317, 0.0, 0.0, 0.0, 0.007407407407407408, 0.21083172147001933, 0.0, 0.0, 0.0017094017094017094]\n",
            "ECG2 32 [0.14346895074946467, 0.22346368715083798, 0.03636363636363636, 0.0034782608695652175, 0.018, 0.0, 0.0, 0.0, 0.0, 0.08118811881188119, 0.02127659574468085, 0.0, 0.0018552875695732839, 0.01486988847583643, 0.22823984526112184, 0.007142857142857143, 0.002320185614849188, 0.0017152658662092624]\n",
            "ECG1 64 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0390625, 0.0, 0.0, 0.0, 0.0, 0.19083969465648856, 0.0, 0.0, 0.0]\n",
            "ECG2 64 [0.12658227848101267, 0.287292817679558, 0.017937219730941704, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0546875, 0.02510460251046025, 0.0, 0.0, 0.003663003663003663, 0.16793893129770993, 0.014084507042253521, 0.0045662100456621, 0.0]\n",
            "ECG1 128 [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.14393939393939395, 0.0, 0.0, 0.0]\n",
            "ECG2 128 [0.1092436974789916, 0.5494505494505495, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.007751937984496124, 0.06666666666666667, 0.0, 0.0, 0.0072992700729927005, 0.12878787878787878, 0.02097902097902098, 0.0, 0.0]\n"
          ]
        }
      ],
      "source": [
        "result = {}\n",
        "opti = {32:23, 64:40, 128:65}\n",
        "for win in [32, 64, 128]:\n",
        "  op = opti[win]\n",
        "  for lead in ['ECG1', 'ECG2']:\n",
        "    counts = []\n",
        "    for id in all_ids:\n",
        "        count = nsr_analyse('/content/physionet.org/files/nsrdb/1.0.0/'+id, [lead], 250, win, op)\n",
        "        counts.append(count)\n",
        "    result[lead + ' '+str(win)] = counts\n",
        "    print(lead + ' '+str(win), result[lead + ' '+str(win)])"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(15,5))\n",
        "for title, errors in result.items():\n",
        "  plt.plot(all_ids, errors, label=title, marker='o')\n",
        "plt.ylabel('1-Specificity')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 525
        },
        "id": "9mHRYazK25e0",
        "outputId": "84dfc3c0-a839-400e-8191-072830202282"
      },
      "execution_count": 247,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
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              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
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              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
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              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
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              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
              "</pre>\n"
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            "text/plain": [
              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
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            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
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              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
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              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
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              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
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              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
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              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
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              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
              "</pre>\n"
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        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fb08befb610>"
            ]
          },
          "metadata": {},
          "execution_count": 247
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for a, b in result.items():\n",
        "  print(a, 1-np.mean(b))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0YBqnU4Yzz8f",
        "outputId": "af223efc-a965-4d2f-f7c7-1300cbd6d773"
      },
      "execution_count": 249,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ECG1 32 0.982629740560155\n",
            "ECG2 32 0.9564787455766381\n",
            "ECG1 64 0.9872276558524173\n",
            "ECG2 64 0.9610079405305221\n",
            "ECG1 128 0.992003367003367\n",
            "ECG2 128 0.950545609921078\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.mean(res_sen[2:]), np.mean(res_spe[2:])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WHL5pb4oJSop",
        "outputId": "bfe213dd-d3e1-48c8-b005-5b375ce468d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0.6548440813572391, 0.6161593311969538)"
            ]
          },
          "metadata": {},
          "execution_count": 189
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(15,5))\n",
        "plt.title('Window size 128')\n",
        "plt.plot(all_ids, res_sen, linestyle='-', marker=\"o\", label='Sensitivity')\n",
        "plt.plot(all_ids, res_spe, linestyle='-', marker=\"o\", label='Specificity')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 420
        },
        "id": "m_gqBmeGEAIH",
        "outputId": "a79354af-84af-48c0-be3f-adc9f7c39183"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
              "</pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fb07ac3dca0>"
            ]
          },
          "metadata": {},
          "execution_count": 188
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "X7LZr6KlFQVz"
      },
      "source": [
        "## Demo Graphs"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "osGyg1HcFQVz",
        "outputId": "dda2eba0-82b2-4929-80f4-259716474ba1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x18651e33070>"
            ]
          },
          "execution_count": 66,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "# True positive demo\n",
        "interval = None\n",
        "occur = None\n",
        "for seg, nec in nec_records.items():\n",
        "    found = np.where(np.logical_and(af_idx>=seg[0],af_idx<=seg[1]))[0]\n",
        "    if nec > 23 and len(found) != 0:\n",
        "        interval = seg\n",
        "        occur = af_idx[found[0]]\n",
        "\n",
        "example_samples, _= readin.get_data(example_path, leads, interval[0], interval[1])\n",
        "plt.figure(figsize=(15,5))\n",
        "plt.title('AF Detection - True Positive')\n",
        "plt.xlabel('Sample in time')\n",
        "plt.ylabel('Amplitude')\n",
        "plt.plot(range(interval[0], interval[1]),example_samples)\n",
        "plt.axvline(x=occur, color='r', label='Change Rhythm')\n",
        "plt.legend()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "WjnQznM_FQVz",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 384
        },
        "outputId": "e893e71e-f9e2-4ca6-df24-1834730999e9"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "\u001b[33mWARNING: No handles with labels found to put in legend.\u001b[0m\u001b[33m\n",
              "\u001b[0m"
            ],
            "text/html": [
              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">WARNING: No handles with labels found to put in legend.\n",
              "</span></pre>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fb0790ceee0>"
            ]
          },
          "metadata": {},
          "execution_count": 144
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# True negative demo\n",
        "interval = None\n",
        "\n",
        "for seg, nec in nec_records.items():\n",
        "    found = np.where(np.logical_and(af_idx>=seg[0],af_idx<=seg[1]))[0]\n",
        "    if nec < 23 and len(found) == 0:\n",
        "        interval = seg\n",
        "\n",
        "example_samples, _= readin.get_data(example_path, leads, interval[0], interval[1])\n",
        "plt.figure(figsize=(15,5))\n",
        "plt.title('AF Detection - True Negative')\n",
        "plt.xlabel('Sample in time')\n",
        "plt.ylabel('Amplitude')\n",
        "plt.plot(range(interval[0], interval[1]),example_samples)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# False positive demo\n",
        "interval = None\n",
        "for seg, nec in nec_records.items():\n",
        "    found = np.where(np.logical_and(af_idx>=seg[0],af_idx<=seg[1]))[0]\n",
        "    if nec > 23 and len(found) == 0:\n",
        "        interval = seg\n",
        "\n",
        "example_samples, _= readin.get_data(example_path, leads, interval[0], interval[1])\n",
        "plt.figure(figsize=(15,5))\n",
        "plt.title('AF Detection - False Positive')\n",
        "plt.xlabel('Sample in time')\n",
        "plt.ylabel('Amplitude')\n",
        "plt.plot(range(interval[0], interval[1]),example_samples)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 368
        },
        "id": "P2y5muN1RSHW",
        "outputId": "df0ea657-6608-47c7-d151-9cab17267ab2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7fb078bec580>]"
            ]
          },
          "metadata": {},
          "execution_count": 146
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# True positive demo\n",
        "interval = None\n",
        "occur = None\n",
        "for seg, nec in nec_records.items():\n",
        "    found = np.where(np.logical_and(af_idx>=seg[0],af_idx<=seg[1]))[0]\n",
        "    if nec < 23 and len(found) != 0:\n",
        "        interval = seg\n",
        "        occur = af_idx[found[0]]\n",
        "\n",
        "example_samples, _= readin.get_data(example_path, leads, interval[0], interval[1])\n",
        "plt.figure(figsize=(15,5))\n",
        "plt.title('AF Detection - False Negative')\n",
        "plt.xlabel('Sample in time')\n",
        "plt.ylabel('Amplitude')\n",
        "plt.plot(range(interval[0], interval[1]),example_samples)\n",
        "plt.axvline(x=occur, color='r', label='Change Rhythm')\n",
        "plt.legend()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 368
        },
        "id": "x8yHIhYzSDN_",
        "outputId": "3bac8f33-254d-43e5-b215-0018bef41539"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7fb078ac21c0>"
            ]
          },
          "metadata": {},
          "execution_count": 147
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ],
            "image/png": 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\n"
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      "language": "python",
      "name": "python3"
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}